Lead Software & AI Engineer

Position Overview

G2IT is seeking a highly skilled Lead Software & AI Engineer to support mission‑critical Department of Defense initiatives. The ideal candidate will possess extensive experience in software engineering, cloud‑native application development, Dev Sec Ops , and Artificial Intelligence/Machine Learning (AI/ML) integration within operational environments.

• Active Top Secret/SCI clearance or TS/SCI eligibility with a completed Tier 5 investigation at the time of submission.

• Minimum five (5) years of hands‑on experience developing and supporting microservices‑based architectures.
• Minimum five (5) years of experience with containerized applications and Kubernetes‑based environments.
• Demonstrated experience developing, integrating, or deploying Machine Learning (ML), Artificial Intelligence (AI), and/or Large Language Models (LLMs) within operational systems.
• DoD 8140/8570 IAT Level II certification and/or intermediate proficiency baseline certification for Cyber Workforce Framework (CSWF) approval, such as:
  • Security+ CE
  • CySA+
  • Equivalent approved certification
• Strong understanding of secure software development practices and Dev Sec Ops  methodologies.
• Excellent analytical, problem‑solving, communication, and leadership skills.

• Lead the design, development, integration, and deployment of cloud‑native software solutions supporting mission‑critical operations.
• Architect and implement AI/ML and LLM‑enabled capabilities within enterprise and operational systems.
• Design and develop scalable microservices and APIs using modern software engineering practices.
• Collaborate with government and contractor stakeholders to define technical requirements and deliver innovative solutions.
• Provide technical leadership, mentorship, and guidance to development and engineering teams.
• Support system modernization efforts through automation, cloud adoption, and Dev Sec Ops  best practices.
• Ensure security, scalability, reliability, and maintainability across all software solutions.

• Experience developing, integrating, and operationalizing:
  • Machine Learning models
  • Artificial Intelligence solutions
  • Large Language Models (LLMs)
  • AI‑enabled workflows and applications
• Familiarity with modern AI frameworks, model deployment, inference pipelines, and retrieval‑augmented generation (RAG) architectures is highly desirable.

• Experience implementing and managing containerized applications using:
  • Docker
  • Podman
  • Buildah
• Experience designing and maintaining orchestration platforms utilizing:
  • Kubernetes
  • Open Shift
  • Helm

• Experience developing and optimizing CI/CD pipelines using:
  • Git Lab
  • Jenkins
  • AWS Code Build
• Strong understanding of automated testing, deployment, and release management processes.

• Experience automating infrastructure provisioning and configuration management using:
  • Terraform
  • Ansible
  • AWS Cloud Formation
• Experience implementing repeatable and scalable infrastructure solutions.

• Experience administering and supporting Linux‑based environments including:
  • Red Hat Enterprise Linux (RHEL)
  • CentOS
  • Ubuntu

• Experience creating automation tools and operational scripts using:
  • Bash
  • Python
  • Power Shell

• Experience designing, deploying, and maintaining applications and infrastructure within:
  • Amazon Web Services (AWS)
  • Microsoft Azure

• Experience developing full‑stack applications utilizing:
  • Java
  • Python
  • Type Script
  • React
  • SQL

• Experience supporting Agile development teams using:
  • Jira
  • Confluence
  • Bitbucket
• Experience with source code control, documentation, and project management best practices.

• Experience supporting Department of Defense, Intelligence Community, or federal government programs.
• Experience implementing AI/ML capabilities in classified or secure environments.
• Cloud certifications (AWS, Azure).
• Kubernetes, Open Shift, Terraform, or Dev Sec Ops  certifications.
• Experience leading software development teams and technical modernization initiatives.

Salary: $185–200k depending on experience.